Human Heart Disease Prediction System Using Data Mining Techniques
Journal Title: Sir Syed University Reseacrh Journal of Engineering and Technology - Year 2018, Vol 2, Issue
Abstract
— Prediction of heart disease is a big issue in now a day because in electronic life everyone is busy and due to heavy load of work people do not give attention to their health. To diagnose a disease is a big issue. The issue is to extract data that have some meaningful knowledge. For this, data mining technique is used to extract meaningful data. Decision Tree and ID3 is used to predict heart disease. Many researchers and practitioners are familiar with prediction of heart disease and wide range of techniques is available to predict disease. To address this problem, Decision Tree is used to predict the heart disease. In this the collected data is pre-processed, apply the Decision Tree algorithm and ID3 and then predict the heart disease.
Authors and Affiliations
Sidra Javed, Hamza Javed, Ayesha Saddique, Beenish Rafiq
Keywords
Related Articles
- EP ID EP497983
- DOI -
- Views 138
- Downloads 0
Impact of Sales Force Automation System on Performance of Salesman: Pakistani Companies’ Perspective
Rapid growth in advance technologies has changed the life of sales force. Sales Force Automation (SFA) is marketing tool which provides the functions to sales team and managers to monitor sales, forecast sales and analyz...
A Region-based Approach to the Automated Marking of Short Textual Answers
Abstract— Automated marking of short textual answers is a challenging task due to the difficulties involved in accurately “understanding” natural language text. However, certain purpose-built Natural Language Processing...
A Conceptual System on Ubiquitous Cardiovascular Health-Care System (UCHS)
— In a cardio center, heart-care monitoring system, it is essential to continually monitor the patient's physiological parameters such as heart patient parameters like heart rate and blood pressure to control their healt...
Prototyping Non-holonomic Hovercraft for Path Planning and Obstacle Avoidance
Abstract— By definition, autonomous control systems are the systems that sense the physical quantities from their environment and may execute any dirty, difficult, dull and dangerous task without any intervention. These...
Construction Practices in Karachi Featuring Town Wise Study: Non-Compliance of Safety Measures and Consequences
Based on the statistical evaluation of accidents, the construction industry on an overall basis is full of dangers and risk oriented. The natures of the activities involved become hazardous when compliance with the safet...